OpenAI

Today, we closed our latest funding round with $122 billion in committed capital at an $852 billion post-money valuation. OpenAI is becoming core infrastructure for AI—making it possible for people and businesses everywhere to build, create, and operate in entirely new ways. Together, consumer adoption, enterprise deployment, developer usage, and compute form a reinforcing flywheel that is translating capability into economic impact. This is both commercial scale and mission scale. The fastest way to expand the benefits of AI is to put useful intelligence in people’s hands early, and let that access compound globally. We’re already seeing AI drive productivity, accelerate discovery, and reshape how work gets done. We’re now building a unified AI superapp, bringing ChatGPT, Codex, and agents into one system that understands intent and gets real work done across workflows. As models improve, the shift moves to usability. One surface that connects consumer scale to enterprise impact, and accelerates adoption everywhere. Moments like this don’t come often. The capital being invested today is helping build the infrastructure for intelligence itself—and over time, that value will flow across the global economy. https://lnkd.in/gphM_GwT

Developers are getting work done, even while they sleep. Latest data from Codex use shows that developers delegate their long-running, hard tasks, such as refactors and architecture planning, to Codex at the end of the day. Tasks kicked off at 11 pm are 60% more likely to run for 3+ hours than other tasks.

Last week, we brought together leaders from across the U.S. mental health community to explore how AI can support the mental health experiences of young people today. In partnership with the American Psychological Association, this convening brought together experts in clinical care, research and community-based organizations focused on advocacy, peer support, and lived experience from the CEO Alliance for Mental Health. The focus was simple: listen first. To young people. To researchers and clinicians. To those working on the frontlines of care. Together, participants explored where support systems are working, where gaps remain, and how AI is already shaping how young people seek information, connection, and help. They also discussed where AI may expand access to support and where evidence, clinical expertise, and clear boundaries must guide its use. This conversation built upon OpenAI’s broader efforts to support mental health and  younger users in particular–including improving responses in sensitive moments, expanding access to crisis resources, and strengthening age-appropriate protections. This convening was a starting point. Progress will require continued collaboration across technology, mental health, and youth communities, grounded in science, transparency, and real-world expertise. We’re grateful to the leaders and especially the young people who shared their perspectives.  Thank you to the youth and leaders of Brotherhood Crusade and Hidden Genius for sharing their experiences and grounding this conversation in lived reality and NAMI, National Association of Social Workers, Steinberg Institute, National Council for Mental Wellbeing, The Kennedy Forum, Meadows Mental Health Policy Institute, American Foundation for Suicide Prevention, Peg's Foundation, American Psychiatric Association One Mind, The Transformative Good Lab for joining us.

Today we’re launching a Safety Bug Bounty program focused on identifying AI abuse and safety risks across OpenAI products. This new program builds on our Security Bug Bounty to include AI-specific safety issues and misuse scenarios, helping us work with the safety and security research community to identify and address real-world risks. https://lnkd.in/gdUdTBUy

The more AI can do, the more we need to ask what it should and shouldn’t do. OpenAI researcher Jason Wolfe joins host Andrew Mayne to explore the Model Spec, the public framework that defines how models are intended to behave. They break down how it works in practice, from the chain of command that resolves conflicting instructions to the way it evolves over time through real-world use, feedback, and new model capabilities. https://lnkd.in/dr9D6-8i

It's easier than ever to find what to buy with ChatGPT. https://lnkd.in/gfCDQan5

Shopping in ChatGPT just got an upgrade. Now, you can browse products visually, compare options side-by-side, and get detailed, up-to-date information—all in one place. This builds on what ChatGPT does best: helping you figure out what to buy. Under the hood, we’re improving speed, relevance, and product coverage—so results are more up-to-date and more useful. That means less searching, fewer tabs, and faster decisions. To power this, we’re expanding the Agentic Commerce Protocol (ACP) to support product discovery—bringing more complete, relevant, and up-to-date information directly into ChatGPT. For merchants, using ACP means their catalog is represented with the freshest data possible—improving how products show up, how they rank, and how well they convert. These updates are rolling out to all ChatGPT free, Go, Plus, and Pro users this week, with more to come as we continue to invest in product discovery with ChatGPT. https://lnkd.in/gfCDQan5